Associate Director, Advanced Analytics

Morris Plains, NJ

Open 5 months, first seen by us 154 days ago

Pay: Pay not listedSimilar roles state $154K–$225K
Work setting: Not stated
Employment: Not stated

What you’ll work on

The Associate Director, Commercial Analytics, will serve as a key client-facing leader within KMK's Commercial Analytics Center of Expertise.

Manage senior client relationships and act as the main point of contact for analytics needs
Lead design and delivery of patient claims, brand, marketing and predictive analytics projects
Oversee end-to-end project delivery, including scoping, resourcing, timelines and budget
Mentor and develop a team of analysts and managers
Contribute to proposal development and identify new service opportunities

From the employer’s posting

The Associate Director, Commercial Analytics, will serve as a key client-facing leader within KMK's Commercial Analytics Center of Expertise. This role combines strategic account management with hands-on delivery of advanced analytics solutions, focusing on patient claims analytics, brand analytics, marketing analytics, and predictive analytics. You will manage a portfolio of high-value client relationships, lead and mentor global teams to deliver tailored insights, and drive business growth through innovative data-driven solutions. As a culture carrier, you will mentor junior staff, promote best practices, and embody KMK's commitment to excellence, collaboration, and client success.

Act as the primary point of contact for commercial analytics needs

Lead the design, execution, and interpretation of analytics projects

Oversee end-to-end project delivery, including scoping proposals, resource allocation, timeline management, and budget oversight

Mentor and develop a team of analysts and managers, fostering skill growth.

Contribute to proposal development, ensuring methodological rigor and alignment with client needs.

What you’ll bring

All qualifications

Core experience

Experience: 7-10+ years in commercial analytics, consulting, or pharma/biotech, with at least 4 years in a client-facing leadership role (e.g., Manager, Senior Manager, or Associate Director).
Experience with life sciences datasets (e.g., claims, EMR, payer data) and coding skills (SAS, Python, SQL, etc.) and knowledge of data visualization software such as Tableau or Power BI.
Familiarity with commercial operations tools (e.g., CRM, incentive compensation platforms) and advanced analytics methodologies (e.g., marketing mix modeling, segmentation).
Ability to thrive in a fast-paced, collaborative environment while managing multiple priorities.

Qualification wording

Experience: 7-10+ years in commercial analytics, consulting, or pharma/biotech, with at least 4 years in a client-facing leadership role (e.g., Manager, Senior Manager, or Associate Director). Proven track record in patient claims, brand, marketing, and/or predictive analytics required. Experience with life sciences datasets (e.g., claims, EMR, payer data) and coding skills (SAS, Python, SQL, etc.) and knowledge of data visualization software such as Tableau or Power BI.

Technical Skills: Strong proficiency in data analysis, statistical modeling, and coding (SQL, Python/R preferred). Familiarity with commercial operations tools (e.g., CRM, incentive compensation platforms) and advanced analytics methodologies (e.g., marketing mix modeling, segmentation).

Soft Skills: Exceptional communication and presentation abilities, with experience influencing senior executives. Strategic thinker with a client-centric mindset, strong problem-solving skills, and a passion for mentoring. Ability to thrive in a fast-paced, collaborative environment while managing multiple priorities.

Education & alternatives

Qualifications & Experience - Education: Bachelor's degree in Business, Analytics, Statistics, Life Sciences, or a related field; Master's or MBA preferred. - Experience: 7-10+ years in commercial analytics, consulting, or pharma/biotech, with at least 4 years in a client-facing leadership role (e.g., Manager, Senior Manager, or Associate Director). Proven track record in patient claims, brand, marketing, and/or predictive analytics required. Experience with life sciences datasets (e.g., claims, EMR, payer data) and coding skills (SAS, Python, SQL, etc.) and knowledge of data visualization software such as Tableau or Power BI.

Apply at KMK Consulting

Posting record

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Open 5 monthsWe first saw this posting 154 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jun 3, 2026154 days ago
Recorded sightings: 90
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$154K–$225K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 154

Up longer than most. Similar jobs usually come down between day 7 and day 53.

From 7,803 similar postings that came down. Coming down is not always a hire.

KMK Consulting is hiring

12 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Leadership hiring is picking up
Its jobs tend to stay up a long time

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
R
SAS
SQL
Power BI
Tableau

Where the posting names them

- Education: Bachelor's degree in Business, Analytics, Statistics, Life Sciences, or a related field; Master's or MBA preferred. - Experience: 7-10+ years in commercial analytics, consulting, or pharma/biotech, with at least 4 years in a client-facing leadership role (e.g., Manager, Senior Manager, or Associate Director). Proven track record in patient claims, brand, marketing, and/or predictive analytics required. Experience with life sciences datasets (e.g., claims, EMR, payer data) and coding skills (SAS, Python, SQL, etc.) and knowledge of data visualization software such as Tableau or Power BI. - Technical Skills: Strong proficiency in data analysis, statistical modeling, and coding (SQL, Python/R preferred). Familiarity with commercial operations tools (e.g., CRM, incentive compensation platforms) and advanced analytics methodologies (e.g., marketing mix modeling, segmentation).

- Experience: 7-10+ years in commercial analytics, consulting, or pharma/biotech, with at least 4 years in a client-facing leadership role (e.g., Manager, Senior Manager, or Associate Director). Proven track record in patient claims, brand, marketing, and/or predictive analytics required. Experience with life sciences datasets (e.g., claims, EMR, payer data) and coding skills (SAS, Python, SQL, etc.) and knowledge of data visualization software such as Tableau or Power BI. - Technical Skills: Strong proficiency in data analysis, statistical modeling, and coding (SQL, Python/R preferred). Familiarity with commercial operations tools (e.g., CRM, incentive compensation platforms) and advanced analytics methodologies (e.g., marketing mix modeling, segmentation). - Soft Skills: Exceptional communication and presentation abilities, with experience influencing senior executives. Strategic thinker with a client-centric mindset, strong problem-solving skills, and a passion for mentoring. Ability to thrive in a fast-paced, collaborative environment while managing multiple priorities.

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025: $175,140
Expected change, 2025 to 2035: 15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

Company Overview

KMK Consulting Inc. is a leading provider of actionable insights in the life sciences industry, specializing in Commercial Analytics, Sales Planning & Operations, and HEOR|RWE. We partner with pharmaceutical and biotech clients to transform complex data into strategic solutions that drive commercial success, optimize patient journeys, and enhance real-world outcomes. Our tailored approach—whether project-based, on-site, or hybrid—ensures we support our clients every step of the way, fostering innovation and measurable impact. Headquartered with a global presence, KMK is committed to elevating success and improving patient care through evidence-based analytics and deep industry expertise. Learn more at kmkconsultinginc.com.

Role Summary

The Associate Director, Commercial Analytics, will serve as a key client-facing leader within KMK's Commercial Analytics Center of Expertise. This role combines strategic account management with hands-on delivery of advanced analytics solutions, focusing on patient claims analytics, brand analytics, marketing analytics, and predictive analytics. You will manage a portfolio of high-value client relationships, lead and mentor global teams to deliver tailored insights, and drive business growth through innovative data-driven solutions. As a culture carrier, you will mentor junior staff, promote best practices, and embody KMK's commitment to excellence, collaboration, and client success.

Key Responsibilities

Account Management & Client Engagement: Build and maintain strong, long-term relationships with clients’ senior stakeholders. Act as the primary point of contact for commercial analytics needs, managing expectations, conducting regular business reviews, and identifying opportunities for expansion. Translate client business challenges into actionable analytics projects.

Commercial Analytics Delivery: Lead the design, execution, and interpretation of analytics projects, with a focus on patient claims analytics, brand analytics, marketing analytics, and predictive analytics. Serve as a subject matter expert, guiding internal teams to ensure all deliverables are high-quality, timely, and exceed expectations.

Project Leadership & Team Management: Oversee end-to-end project delivery, including scoping proposals, resource allocation, timeline management, and budget oversight. Mentor and develop a team of analysts and managers, fostering skill growth.

Business Development & Innovation: Contribute to proposal development, ensuring methodological rigor and alignment with client needs. Identify growth opportunities for the firm, including new service offerings and improvements of existing processes. Stay abreast of industry trends in healthcare data, service offerings and AI/ML applications to innovate offerings and enhance KMK's competitive edge.

Stakeholder Communication & Impact: Present analytical findings through compelling visualizations, reports, and executive summaries. Influence cross-functional teams and clients to drive data-informed decisions that elevate commercial performance and patient care outcomes.

Qualifications & Experience

Education: Bachelor's degree in Business, Analytics, Statistics, Life Sciences, or a related field; Master's or MBA preferred.

Experience: 7-10+ years in commercial analytics, consulting, or pharma/biotech, with at least 4 years in a client-facing leadership role (e.g., Manager, Senior Manager, or Associate Director). Proven track record in patient claims, brand, marketing, and/or predictive analytics required. Experience with life sciences datasets (e.g., claims, EMR, payer data) and coding skills (SAS, Python, SQL, etc.) and knowledge of data visualization software such as Tableau or Power BI.

Technical Skills: Strong proficiency in data analysis, statistical modeling, and coding (SQL, Python/R preferred). Familiarity with commercial operations tools (e.g., CRM, incentive compensation platforms) and advanced analytics methodologies (e.g., marketing mix modeling, segmentation).

Soft Skills: Exceptional communication and presentation abilities, with experience influencing senior executives. Strategic thinker with a client-centric mindset, strong problem-solving skills, and a passion for mentoring. Ability to thrive in a fast-paced, collaborative environment while managing multiple priorities.

What We Offer

Competitive compensation package, including base salary, performance bonuses.

Hybrid work model with opportunities for on-site collaboration and remote flexibility.

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